论文标题
支持AI增强模型驱动工程的工业要求
Industrial Requirements for Supporting AI-Enhanced Model-Driven Engineering
论文作者
论文摘要
人们对AI技术和方法与MDE的组合的研究越来越兴趣。但是，AI和MDE实践以及研究人员和从业者之间存在差距。本文通过报告该领域的工业需求来解决这一差距。在Aidoart研究项目中，从业人员和研究人员合作进行了AI级自动化，支持建模，编码，测试，监测和网络物理系统中的持续开发。该项目特别是工业和学术界合作与几个工业用例的交集。通过启发和完善的过程，Aidoart Partners定义了78个高级要求，并将其概括为30个通用要求。本文的主要贡献是该项目的一系列通用要求，即通过人工智能，DevOps和模型驱动的工程增强网络物理系统的开发，从而确定了MDE和AI相互作用中行业需求的热点。未来的工作将在行业环境中完善，实施和评估对这些要求的解决方案。
There is an increasing interest in research on the combination of AI techniques and methods with MDE. However, there is a gap between AI and MDE practices, as well as between researchers and practitioners. This paper tackles this gap by reporting on industrial requirements in this field. In the AIDOaRt research project, practitioners and researchers collaborate on AI-augmented automation supporting modeling, coding, testing, monitoring, and continuous development in cyber-physical systems. The project specifically lies at the intersection of industry and academia collaboration with several industrial use cases. Through a process of elicitation and refinement, 78 high-level requirements were defined, and generalized into 30 generic requirements by the AIDOaRt partners. The main contribution of this paper is the set of generic requirements from the project for enhancing the development of cyber-physical systems with artificial intelligence, DevOps, and model-driven engineering, identifying the hot spots of industry needs in the interactions of MDE and AI. Future work will refine, implement and evaluate solutions toward these requirements in industry contexts.
